174 skills found · Page 1 of 6
WayneDW / Sentiment Analysis In Event Driven Stock Price Movement PredictionUse NLP to predict stock price movement associated with news
ragulpr / Wtte RnnWTTE-RNN a framework for churn and time to event prediction
sktime / SkproA unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
yangboz / LotteryPrediction:full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.
bmd1905 / Customer Purchase Prediction ML SystemA turnkey MLOps pipeline demonstrating how to go from raw events to real-time predictions at scale.
vedic-partap / Event Driven Stock Prediction Using Deep LearningA deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
eecrazy / ConstructingNEEG IJCAI 2018The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction
MouseyPounds / Stardew PredictorPredictions of not very random events in Stardew Valley
uzh-rpg / Rpg RamnetCode and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)
brightbandtech / ExtremeWeatherBenchBenchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
VachelHU / EvoNetTime-Series Event Prediction with Evolutionary State Graph, WSDM 2021
awesome-yasin / CryptoVerseCryptoVerse is a Crypto Tracking app made with ReactJS, NodeJs, EJS, Vanilla JS and axios, Cheerio that has following features Crypto Currency Tracker,Crypto Portfolio Tracker, Crypto News, Coin Events, Crypto Top Loser and Gainer, Crypto Predictions. For Data I have used API from Coingecko, Kryptocal, Cryptocompare.
iLampard / LampPyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
jayleicn / VideoLanguageFuturePred[EMNLP 2020] What is More Likely to Happen Next? Video-and-Language Future Event Prediction
cran2367 / Deep Learning And Rare Event PredictionDeep Learning and Rare Event Prediction
niels-ma / Infinite GamesA subnet dedicated to the prediction of future events.
fmpr / Combining TimeSeries TextDataA deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
merlresearch / SebbsPrediction of sound event bounding boxes (SEBBs)
yllvar / Kalshi Quant TeleBotKalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control
